DeepSeek Coder V2 236B
Full DeepSeek Coder V2. 236B total / 21B active MoE coder.
Overview
Full DeepSeek Coder V2. 236B total / 21B active MoE coder.
Family & lineage
How this model relates to others in its lineage. Family members share architecture and training-data roots; parent / children edges record direct distillation or fine-tune relationships.
Strengths
- MoE coding at frontier scale
Weaknesses
- Cluster-only deployment
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 134.0 GB | 160 GB |
Get the model
HuggingFace
Original weights
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of DeepSeek Coder V2 236B.
Models worth comparing
Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.
Frequently asked
What's the minimum VRAM to run DeepSeek Coder V2 236B?
Can I use DeepSeek Coder V2 236B commercially?
What's the context length of DeepSeek Coder V2 236B?
Source: huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Instruct
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